ISSN: 2222-6990
Open access
This article discusses the evolution of the technology acceptance model on the acceptance of technology in purchase activities. To review the evolution of the technology acceptance model, this paper uses a systematic review approach. The study assessed the development of ten prevalent technology acceptance model and confirmed that it improves the validity and reliability of the technology acceptance model. However, these models usually validated by measuring behavioural intention to use rather than actual usage. In comparison, the UTAUT2 is the all-inclusive, and robust model that actually uses a wide variety of contextual settings, which theoretically has broader applicability.
Rad, A., & Benyoucef, M. (2011). A model for understanding social commerce. Journal of Information Systems Applied Research, 4(2), 63.
Agu, S., Nwankwo, B., Obi, T., Sydney-Agbor, N., & Mgbenkemdi, H. (2013). Effect of gender and locality on alcohol abuse among secondary school students. International Journal of Humanity and Social Sciences, 2(1), 49.
Ahmed, M. S. (2016). Technology acceptance of smartphones as mobile learning tools: A contextual comparative study of engineering and education colleges. Ph.D. Dissertation, University of Canterbury, Christchurch, New Zealand
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I. (2002). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and social psychology review, 6(2), 107-122.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall
Akman, I., & Mishra, A. (2017). Factors influencing consumer intention in social commerce adoption. Information Technology & People.
Alam, S. S., & Sayuti, N. M. (2011). Applying the Theory of Planned Behavior (TPB) in halal food purchasing. International journal of Commerce and Management.
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping. Internet Research.
Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282-2290.
Alwahaishi, S., & Snášel, V. (2013). Consumers' acceptance and use of information and communications technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61-73.
Ambali, A. R., & Bakar, A. N. (2014). ICT Adoption and Application in the Malaysian Public Sector. Hershey: IGI Publishing.
Armesh, H., Salarzehi, H., Yaghoobi, N. M., Heydari, A., & Nikbin, D. (2010). Impact of online/internet marketing on computer industry in Malaysia in enhancing consumer experience. International Journal of Marketing Studies,2(2), 75.
Armstrong, R., Hall, B. J., Doyle, J., & Waters, E. (2011). ‘Scoping the scope’of a cochrane review. Journal of public health, 33(1), 147-150.
Bandura, A. (1989). Social Cognitive Theory Annals of Child Development, Volume 6. Six theories of child development R. Vasta Greenwich, CT.
Bandura, A. (2001). Social cognitive theory of mass communication. Media psychology,3(3), 265-299.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior,50, 418-430.
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning. Journal of Research in Innovative Teaching & Learning.
Çal, B., & Adams, R. (2014). The effect of hedonistic and utilitarian consumer behavior on brand equity: Turkey–UK comparison on Coca Cola. Procedia-Social and Behavioral Sciences, 150, 475-484.
Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10-114.
Chia, C. F., & Garrett, T. C. (2009). Diffusion of Innovations Theory. In Handbook of Research on Contemporary Theoretical Models in Information Systems (pp. 1-5).
Chuttur, M. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9-37.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-189.
Davis, F. D., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132.
Dearing, J. W., & Cox, J. G. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183-190.
Delafrooz, N., Paim, L. H., & Khatibi, A. (2010). Students’ online shopping behavior: An empirical study. Journal of American Science, 6(1), 137-147.
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743-763.
Estabrooks, C. A., Thompson, D. S., Lovely, J. J. E., & Hofmeyer, A. (2006). A guide to knowledge translation theory. Journal of Continuing Education in the Health Professions, 26(1), 25-36.
Fishbein, M., & Ajzen, I. (1975). Belief. Attitude, Intention and Behavior: An Introduction to Theory and Research, 578.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Glanz, K., Rimer, B. K., & Viswanath, K. (Eds.). (2008). Health behavior and health education: theory, research, and practice. John Wiley & Sons.
Hanafiah, M. H., Hemdi, M. A., & Ahmad, I. (2015). Reflections on Tourism Destination Competitiveness (TDC) Determinants. Advanced Science Letters, 21(5), 1571-1574.
Harper, G. R., & Utley, D. R. (2001). Organizational culture and successful information technology implementation. Engineering Management Journal, 13(2), 11-15.
Hee, S. P. (2000). Relationships among attitudes and subjective norms: Testing the theory of reasoned action across cultures. Communication Studies, 51(2), 162-175.
Hennig-Thurau, T., Hofacker, C. F., & Bloching, B. (2013). Marketing the pinball way: Understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), 237-241.
Huang, C. Y., & Kao, Y. S. (2015). UTAUT2 based predictions of factors influencing the technology acceptance of phablets by DNP. Mathematical Problems in Engineering, 2015.
Ketabi, S. N., Ranjbarian, B., & Ansari, A. (2014). Analysis of the effective factors on online purchase intention through theory of planned behavior. International Journal of Academic Research in Business and Social Sciences, 4(4), 374-382.
Khanam, S., Siddiqui, J., & Talib, F. (2016). Role of information technology in total quality management: a literature review. Khanam, S, Siddiqui, J. and Talib, F.(2013),“Role of Information Technology in Total Quality Management: A Literature Review”, International Journal of Advanced Research in Computer Engineering and Technology, 2(8), 2433-2445.
Khatimah, H., Susanto, P., & Abdullah, N. L. (2019). Hedonic Motivation and Social Influence on Behavioral Intention of E-Money: The Role of Payment Habit as a Mediator. International Journal of Entrepreneurship, 23(1), 1-9.
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
Kiriakidis, S. (2015). Theory of planned behaviour: The intention-behaviour relationship and the perceived behavioural control (PBC) relationship with intention and behaviour. International Journal of Strategic Innovative Marketing, 3(2), 40-51.
Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14(1), 21-38.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.
Li, C.-Y. (2019). How social commerce constructs influence customers' social shopping intention? An empirical study of a social commerce website. Technological Forecasting and Social Change, 144, 282-294.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of purchase intention. Procedia economics and finance, 35(5), 401-410.
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), 3-9.
Marsh, K. L., & Wallace, H. M. (2005). The Influence of Attitudes on Beliefs: Formation and Change.
Miller, N. E., & Dollard, J. (1941). Social learning and imitation. Yale University Press.
Mohtar, S., Hassan, M. G., & Hasnan, N. (2012). A study on customer interface satisfaction by using TAM and SERVQUAL dimension on the use of technology job search website in Malaysia: A case study. Journal of Technology and Operations Management, 7(2), 39-54.
Momani, A. M., & Jamous, M. (2017). The evolution of technology acceptance theories. International Journal of Contemporary Computer Research (IJCCR), 1(1), 51-58.
Moon, M. A., Khalid, M. J., Awan, H. M., Attiq, S., Rasool, H., & Kiran, M. (2017). Consumer's perceptions of website's utilitarian and hedonic attributes and online purchase intentions: A cognitive- affective attitude approach. Spanish Journal of Marketing-ESIC, 21(2), 73-88.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Mei, N. S., Wai, C. W., Ahamad, R., & Zen, I. S. (2017). Review of socio-psychological determinants in public environmental behaviour. International Journal of Real Estate Studies, 11 (1),83-88
Orr, G. (2003). Diffusion of innovations, by Everett Rogers (1995). Retrieved from www.staford.edu/class/symbsys205/Diffusion of Innovation.htm
Palau-Saumell, R., Forgas-Coll, S., Sánchez-García, J., & Robres, E. (2019). User acceptance of mobile apps for restaurants: An expanded and extended UTAUT-2. Sustainability, 11(4), 1210.
Qingfei, M. I. N., Shaobo, J. I., & Gang, Q. U. (2012). Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model. Methodology, 374, 382.
Rogers, E. M. (1962). Diffusion of innovations. Glencoe. Free Press. (1976)," New Product Adoption and Diffusion," Journal of Consumer Research, 2, 290-304.
Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. USA: Simon and Schuster.
Samaradiwakara, G. D. M. N., & Gunawardena, C. G. (2014). Comparison of existing technology acceptance theories and models to suggest a well improved theory/model. International technical sciences journal, 1(1), 21-36.
Sharma, R., & Mishra, R. (2014). A review of evolution of theories and models of technology adoption. Indore Management Journal, 6(2), 17-29.
Sheikh, Z., Yezheng, L., Islam, T., Hameed, Z., & Khan, I. U. (2019). Impact of social commerce constructs and social support on social commerce intentions. Information Technology & People.
Sommer, L. (2011). The theory of planned behaviour and the impact of past behaviour. International Business & Economics Research Journal (IBER), 10(1).
Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail & Distribution Management.
Sridhar, S. (2017). E-commerce technology made easy. IJITR, 5(3), 6183-6198.
Stajkovic, A. D., & Luthans, F. (1998). Social cognitive theory and self-efficacy: Going beyond traditional motivational and behavioral approaches. Organizational dynamics, 26(4), 62-75.
Stankevich, A. (2017). Explaining the consumer decision-making process: Critical literature review. Journal of. Journal of International Business Research and Marketing, 2(6), 7-14
Tavallaee, R., Shokouhyar, S., & Samadi, F. (2017). The combined theory of planned behaviour and technology acceptance model of mobile learning at Tehran universities. International Journal of Mobile Learning and Organisation, 11(2), 176-206.
Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
Thongpapanl, N., & Ashraf, A. R. (2011). Enhancing online performance through website content and personalization. Journal of computer information systems, 52(1), 3-13.
Valerio, C., William, L., & Noémier, Q. (2019). The impact of social media on e-commerce decision making process. International Journal of Technology for Business (IJTB), 1(1), 1-9.
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and psychological measurement, 52(4), 1003-1017.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376.
Vijay, T. S., Prashar, S., & Sahay, V. (2019). The influence of online shopping values and web atmospheric cues on e-loyalty: Mediating role of e-satisfaction. Journal of theoretical and applied electronic commerce research, 14(1), 1-15.
Wani, T. A., & Ali, S. W. (2015). Review & Scope in the Study of Adoption of Smart phones in India. Journal of General Management Research, 3(2), 101-118.
Wayne, W. L. (2018). Behavioral Change Models. Retrieved from http://sphweb.bumc.bu.edu/otlt/
MPH-Modules/SB/BehavioralChangeTheories/BehavioralChangeTheories3.html
Who, X. (2011). Extending TAM: success factors of mobile marketing. American Academic & Scholarly Research Journal, 1(1), 1-5.
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-486
Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43(2), 34-55.
Xavier, N., & Oliveira, T. (2016). Factors affecting behavioural intention to adopt e-participation: Extending the UTAUT2 model. In the European Conference on Information Systems Management (p. 322). Academic Conferences International Limited.
Yin, X., Wang, H., Xia, Q., & Gu, Q. (2019). How social interaction affects purchase intention in social commerce: A cultural perspective. Sustainability, 11(8), 1-18.
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model? Journal of applied social psychology, 40(5), 1172-1202.
Zhang, K. Z., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95-108.
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management, 51(8), 1017-1030.
In-Text Citation: (Rahman et al., 2021)
To Cite this Article: Rahman, F. B. A., Hanafiah, M. H. M., Zahari, M. S. M., & Jipiu, L. B. (2021). Systematic Literature Review on The Evolution of Technology Acceptance and Usage Model used in Consumer Behavioural Study. International Journal of Academic Research in Business and Social Sciences, 11(13), 272–298.
Copyright: © 2021 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
2025 © Copyright HRMARS. All rights Reserved.